الصفحة 2
الصفحة 2
Machine learning and data mining for sports analytics ; 7th international workshop, MLSA 2020, Co-located with ECML/PKDD 2020, Ghent, Belgium, September 14–18, 2020, Proceedings
Constitutes the refereed post-conference proceedings of the 7th International Workshop on Machine Learning and Data Mining for Sports Analytics, MLSA 2020, colocated with ECML/PKDD 2020, in Ghent, Belgium, in September 2020. The 11 papers presented were carefully reviewed and selected from 22 submissions. The papers present a variety of topics within the area of sports analytics, including tactical analysis, outcome predictions, data acquisition, performance optimization, and player evaluation.
Logic Programming ; Vol. 3668 : 21st International Conference, ICLP 2005, Sitges, Spain, October 2-5, 2005, Proceedings
This volume contains the proceedings of the 21st International Conference on Logic Programming which was held in Sitges (Barcelona), Spain, from October 2nd to 5th, 2005. The conference was colocated with the International Conf- ence on ConstraintProgramming(CP 2005)and the following 6 post-conference workshops: – CICLOPS 2005: Colloquium on Implementation of Constraint and Logic Programming Systems – CSLP 2005: Constraint Solving and Language Processing – WCB 2005: Constraint Based Methods for Bioinformatics – WLPE 2005: Logic-Based Methods in Programming Environments – MoVeLog 2005: Mobile Code Safety and Program Veri?cation Using C- putational Logic Tools – CHR 2005: Constraint Handling Rules The conferencecoincided with a solareclipse
Knowledge graphs and big data processing
This book is part of the LAMBDA Project (Learning, Applying, Multiplying Big Data Analytics), funded by the European Union, GA No. 809965. Data Analytics involves applying algorithmic processes to derive insights.
Java : how to program. Late objects : Introducing Jshell
Introduction to Computers, the Internet and Java / Introduction to Java Applications; Input/Output and Operators / Control Statements: Part 1; Assignment, ++ and Operators / Control Statements: Part 2; Logical Operators / Methods / Arrays and ArrayLists / Introduction to Classes and Objects / Classes and Objects: A Deeper Look / Object-Oriented Programming: Inheritance / Object-Oriented Programming: Polymorphism and Interfaces / Exception Handling: A Deeper Look / JavaFX Graphical User Interfaces / JavaFX GUI / Strings, Characters and Regular Expressions / Files, Input/Output Streams, NIO and XML Serialization / Generic Collections / Lambdas and Streams / Recursion / Searching, Sorting and Big O / Generic Classes and Methods: A Deeper Look / Custom Generic Data Structures / JavaFX Graphics and Multimedia / Concurrency / Accessing Databases with JDBC / Introduction to JShell: Java 9's REPL for Interactive Java
Big data-enabled internet of things
Covers analytical techniques for handling the huge amount of data generated by the Internet of Things, from architectures and platforms to security and privacy issues, applications, and challenges as well as future directions. The fields of Big Data and the Internet of Things (IoT) have seen tremendous advances, developments, and growth in recent years. The IoT is the inter-networking of connected smart devices, buildings, vehicles and other items which are embedded with electronics, software, sensors and actuators, and network connectivity that enable these objects to collect and exchange data. The IoT produces a lot of data. Big data describes very large and complex data sets that traditional data processing application software is inadequate to deal with, and the use of analytical methods to extract value from data. This edited book covers analytical techniques for handling the huge amount of data generated by the Internet of Things, from architectures and platforms to security and privacy issues, applications, and challenges as well as future directions.
Beginning ASP.NET 2.0 Databases : From novice to professional
Beginning ASP.NET 2.0 Databases: From Novice to Professional is a comprehensive introduction to connecting a website to many different data sourcesnot just databases. You'll learn how to build a relational database, use SQL to communicate with it, and leverage both in your web applications. You'll also learn about the new features of ADO.NET and ASP.NET in .NET 2.0. The authors cover mission-critical issues, such as design, transactions, error handling, optimization, and scalability. They examine SQL Server, Jet, and MySQL databases, and highlight the differences among them.
Automated nanohandling by microrobots
Automated Nanohandling by Microrobots introduces an actuation principle for such microrobots and presents a new robot design. Different aspects of this research field regarding the hardware and software implementation of the system components, including the sensory feedback for automated nanohandling, are discussed in detail. Extensive applications of the microrobot station for nanohandling, nano-characterization and nanostructuring are provided, together with the experimental results.
Annals of scientific society for assembly, handling and industrial robotics 2021
This proceedings presents a good overview of the current research landscape of assembly, handling and industrial robotics. The objective of MHI Colloquium is the successful networking at both academic and management level. Thereby, the colloquium focuses an academic exchange at a high level in order to distribute the obtained research results, to determine synergy effects and trends, to connect the actors in person and in conclusion, to strengthen the research field as well as the MHI community. In addition, there is the possibility to become acquatined with the organizing institute. Primary audience is formed by members of the scientific society for assembly, handling and industrial robotics (WGMHI).
Annals of scientific society for assembly, handling and industrial robotics
This proceedings presents a good overview of the current research landscape of industrial robots. The objective of MHI Colloquium is the successful networking at both academic and management level. Thereby, the colloquium focuses an academic exchange at a high level in order to distribute the obtained research results, to determine synergy effects and trends, to connect the actors in person and in conclusion, to strengthen the research field as well as the MHI community. In addition, there is the possibility to become acquatined with the organizing institute. Primary audience is formed by members of the scientific society for assembly, handling and industrial robotics (WGMHI).
Algorithms and data structures for massive datasets
Learn: Probabilistic sketching data structures for practical problems Choosing the right database engine for your application Evaluating and designing efficient on-disk data structures and algorithms Understanding the algorithmic trade-offs involved in massive-scale systems Deriving basic statistics from streaming data Correctly sampling streaming data Computing percentiles with limited space resources Algorithms and Data Structures for Massive Datasets reveals a toolbox of new methods that are perfect for handling modern big data applications. You'll explore the novel data structures and algorithms that underpin Google, Facebook, and other enterprise applications that work with truly massive amounts of data. These effective techniques can be applied to any discipline, from finance to text analysis. Graphics, illustrations, and hands-on industry examples make complex ideas practical to implement in your projects--and there's no mathematical proofs to puzzle over. Work through this one-of-a-kind guide, and you'll find the sweet spot of saving space without sacrificing your data's accuracy. About the Technology Standard algorithms and data structures may become slow--or fail altogether--when applied to large distributed datasets. Choosing algorithms designed for big data saves time, increases accuracy, and reduces processing cost.
Advanced Topics in Exception Handling Techniques
Modern software systems are becoming more complex in many ways and are having to cope with a growing number of abnormal situations which, in turn, are increasingly complex to handle.This book is composed of five parts; the first four deal with topics related to exception handling in the context of programming languages, concurrency and operating systems, pervasive computing systems, and requirements and specifications. The last part focuses on case studies, experimentation and qualitative comparisons. The 16 coherently written chapters by leading researchers competently address a wide range of issues in exception handling.
